Sentiment analysis measures the tone of how a brand is described, not just whether it appears. In AI visibility, two brands can both show up in an answer while one is framed as "premium and well-reviewed" and the other as "a cheaper, lower-quality option". Same presence, very different outcomes.
It's the layer that turns raw mentions and share of voice into positioning. Tracking it reveals the gap between how a brand sees itself and how the models actually summarize it. Often the most uncomfortable and useful finding in an AI-visibility review.
Because AI answers vary by phrasing and by engine, a reliable sentiment read comes from sampling many prompts across every engine over time, not a single check. On the Buffy Intel side, this is captured as Brand Perception. The structured view of how engines characterize your brand, and where to push to improve it.